Description

You will lead data validation efforts for a large-scale data migration project moving data from Oracle and Informix (DB2) sources to GCP Cloud Storage and Cloud Spanner.

Responsibilities

• Design and execute data validation scripts to ensure data integrity during migration.
• Analyze complex data models and processes to maintain referential intact data flows and quality controls.
• Validate data migration accuracy across RDBMS, columnar, and semi-structured/unstructured datasets.
• Manage QA test lifecycles, including defect management and testing methodologies.

Required Skills

• 4 to 7 years of experience in ETL/ELT testing.
• Proven experience with large-scale data migration projects.
• Expertise in writing complex SQL and analytical queries to validate results.
• Hands-on experience using Python to build data validation scripts.
• Working knowledge of Google Cloud data services, including BigQuery and Data Storage.
• Experience with Oracle and Informix (DB2) databases.
• Strong analytical skills for inspecting mingled data models.
• Proficiency in QA Test Management and Defect Management.

Key Skills

Education

Not specified